Udemy

Master Marketing Analytics with Python and Machine Learning

立即報名
  • 825 名學生
  • 更新於 9/2024
4.5
(90 個評分)
CTgoodjobs 嚴選優質課程,為職場人士提升競爭力。透過本站連結購買Udemy課程,本站將獲得推廣佣金,有助未來提供更多實用進修課程資訊給讀者。

課程資料

報名日期
全年招生
課程級別
學習模式
修業期
23 小時 50 分鐘
教學語言
英語
授課導師
Inqui Data
評分
4.5
(90 個評分)
4次瀏覽

課程簡介

Master Marketing Analytics with Python and Machine Learning

Level up your marketing career with data analytics skills | Learn Python & ML to optimize your marketing campaigns

Ignite Your Data Science Career with Retail Marketing Analytics

Are you ready to transform data into actionable insights? This comprehensive course equips you with the essential skills of Machine Learning and its application to Retail Marketing.

Key Takeaways:

  • Master Machine Learning Fundamentals: From theory to practice, gain a deep understanding of core concepts using Python.

  • Dive into Retail Marketing Analytics: Explore the unique challenges and opportunities in the retail industry.

  • Build a Powerful Portfolio: Complete two real-world projects, showcasing your ability to extract valuable insights.

Course Outline:

  1. Machine Learning Foundations

  2. Data Preprocessing and Cleaning

  3. Feature Engineering and Selection

  4. Clustering Techniques

  5. Dimensionality Reduction

  6. Regression Models

  7. Classification Algorithms

  8. Model Optimization and Evaluation

  9. Marketing Analytics Principles

  10. Retail Marketing Analytics Projects

Why Choose This Course?

  • Expert Guidance: Learn from a seasoned data scientist.

  • Hands-On Learning: Apply concepts through practical exercises and real-world projects.

  • Gain Experience: Reinforce your understanding by real life scenarios

  • Comprehensive Resources: Access all course materials and datasets.

  • Career Advancement: Gain the skills to land high-demand roles in data science and retail analytics.

Bonus: Receive lifetime access to course materials, including updates and additional resources as the field evolves.

Start Your Journey Today! Enroll now and unlock your potential in Data Science and Retail Marketing Analytics.


課程章節

  • 10 個章節
  • 135 堂課
  • 第 1 章 Introduction
  • 第 2 章 Setting up the Environment
  • 第 3 章 Fundamentals of Machine Learning
  • 第 4 章 Data Preprocessing
  • 第 5 章 Feature Selection
  • 第 6 章 Clustering Algorithms
  • 第 7 章 Dimensionality Reduction
  • 第 8 章 Regression Algorithms
  • 第 9 章 Classification Algorithms
  • 第 10 章 Model Optimization

課程內容

  • Fundamental Concepts of Machine Learning
  • Master Machine Learning Algorithms and perform hands on sessions
  • Make powerful Machine Learning Models with SKLEARN and develop robust predictive frameworks
  • Understand a business problem and relate to an analytical solution
  • Learn how to convert the analytical insights into a business strategy and communicate the same for maximum impact
  • Perform hands on projects on Retail Marketing Analytics that can be directly showcased in your resume


評價

  • J
    José Antonio Flores Gutiérrez
    3.5

    It's been going good, although a bit basic.

  • S
    Saketh Gedela
    5.0

    Have got abundant of knowledge from this sessions which i gone through and find really interesting and very useful to solve real world use cases and to understand business problems, Thank You Sir!!

  • T
    Titiya Prateepsungkom
    2.5

    No presentation deck for download

  • P
    Pratyush Kumar Jha
    2.5

    50% of the lecture content overlaps.. not engaging at all

立即關注瀏覽更多

本網站使用Cookies來改善您的瀏覽體驗,請確定您同意及接受我們的私隱政策使用條款才繼續瀏覽。

我已閱讀及同意